Matching and Classification Model for Multi-Scale Transformation and Representation of Spatial Data
Wu Fan · 2014
Continuous spatial representation is the ideal of multi-representation and transformation. With the spirit of static and dynamic binding, an adaptive scale transformation model was established. Considering different geometry deformation and lifespan, spatial data was divided into matching data and disappearing data by spatial match.For matching data, critical scale was produced and stored statically in advance by generalization algorithms. Disappearing data was organized by multi-scale R tree and dynamically produced by selection and simplification according to significance. Experiments showed that this approach was effective, feasible and practicable to achieve continuous multi-representation and transformation rapidly and dynamically with the results of smooth fashion and less discrete jumps.